A Review of Climate Change Impacts on Agribusiness Value Chain in Nigeria

Sam, Toong Hai; Gwadabe, Zainab Lawal; Hoo, Wong Chee; Wong, Whee Yen; Teck, Tan Seng; Ng, Andrew Kei‐Yan; Vasudevan, Asokan; How, Alvin Liau Chee

doi:10.13189/ujar.2021.090403

Cited by 3 publications

(4 citation statements)

References 22 publications

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“…The results are consistent with studies in Economic Community of West African States exhibiting the influence of climate variables such as rainfall and temperature, and economic variables like capital and labor affects agricultural output [29]. In the same manner, it was found out that climate change in Nigeria deters the growth of the technology and manufacturing sector decreasing labor and capital productivity consequently hampering growth and sustainable development [12,34].…”

Section: Analysis Of Regression Results and Diagnostic Testssupporting

confidence: 89%

“…The purpose of this paper therefore, is to quantitatively evaluate how climate variability and various economic activities in agriculture affect output of Philippine agriculture. At the same time, it aims to understand the movement of climatic indicators such as temperature, precipitation, number of typhoons that hit landfall, carbon emissions, el niño and la niña in the last thirty-four (34) years in so far as the Philippines is concerned; and understand the movement of economic factors such as agricultural credit, agricultural expenditure, employment in agriculture and land area devoted in agriculture in the last thirty-four (34) years as well. Furthermore, it aims to find a causal link between agricultural production in the Philippines and the aforecited climatic indicators in particular.…”

Section: Introductionmentioning

confidence: 99%

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Impact of Climate Change and Economic Activity on Philippine Agriculture: A Cointegration and Causality Analysis

Dait¹

2022

ujar

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Climate change impact is particularly severe in developing countries like the Philippines mainly because of low incomes, geographic state or condition, dependence on climate-sensitive sectors and inadequate capability to adapt to global warming. This paper aimed at analyzing the risk posed by climate change using climatic variables on Philippine agriculture. Likewise, it focused on the empirical measurement of the hypothesized relationship between agricultural output and the condition or predicted economic variables. This paper employed not only the Cobb-Douglas production function using time series data from 1980 to 2014 but also the modeling techniques -Cointegration and Granger causality to simulate the impact of changes of the aforementioned variables on output of Philippine agriculture. Results show that only three variables indicated considerable significance on agricultural production in the Philippines based on their respective t-ratios: Agricultural Employment (EA), temperature (TEMP), and La Nina (D1). Other things equally, a 1% rise in agricultural employment paves a 0.2% increase in agricultural production. On the other hand, a 1% increase in temperature, cet. par., decreases agricultural production by 0.08%. Correspondingly, the incidence of El Nino, other things equally, deceases agricultural output by 0.02%. The other variables are not statistically significant but are interpreted in the same way. With this, government expenditure should be redirected toward R&D in agriculture to improve resilience, competence and sustainability of the agriculture sector.

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Section: Analysis Of Regression Results and Diagnostic Testssupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Impact of Climate Change and Economic Activity on Philippine Agriculture: A Cointegration and Causality Analysis

Dait¹

2022

ujar

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“…al., 2022). (Sam, 2021;Ikhile, 2015). Invasive weeds, pests and fungi are part of climate change effects affecting crop yields, they thrive in warmer temperatures, increased carbon dioxide levels and wetter climates.…”

Section: Climate Change and Agriculturementioning

confidence: 99%

Evaluation of climate change as a major determinant of crop yield improvement in Nigeria

Ologeh

Adesina

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Climate change has adversely affected agricultural productivity leading to decline in food production. The influence of climate change on crops and livestock persists despite irrigation, improved plant and animal hybrids. The continued dependence of agricultural production on climatic factors and the relative dependence of human existence on agricultural products create the need for a comprehensive consideration of the relationship between climate and crop production. This study measured the relationship between annual maize/yam yield as dependent variable and seasonal rainfall as independent variables in four states in Nigeria. It has been proven in the past that yearly rainfall value has no influence on annual crop yield, but seasonal or monthly rainfall does. There is a positive and significant relationship between summed up rainfalls of June/July/August and annual maize yields for the thirty-five years under study. The bi-monthly rainfall values did not influence a major part of total annual maize yield, as it records weak relationship with annual maize yield. On the other hand, bi-monthly rainfall values (May/June and July/August) have positive and significant relationship with annual yam yield. The first quarter- March/April/May rainfall values for each of the states have a positive and significant relationship with annual yam yield. This implies that the rainfall value for this quarter is very essential for annual yam yield for each of the states.

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“…Still, perhaps the duration of direct wetting on the host surface facilitates infection, or rain splash helps the release of spores from summer/winter spores in the soil, which affects cancer development. A study showed that the rise in temperature has a negative effect, while rainfall change exerts a positive impact on agricultural productivity [9]. Previous study also considered the maximum progress and spread of infection during the rainy season in pink cancer cases [8].…”

Section: Introductionmentioning

confidence: 99%

Identification of Climate Influence on Upas Fungus (Corticium sp.) Disease Intensity on Rubber Plants (Hevea brasiliensis Muell.Arg.)

Syahfari¹,

Ramayana²,

Suhaimi³

et al. 2023

ujar

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This research aims to determine the influence of climate in West Kutai, Indonesia on the intensity of disease attack Upas Fungus (Corticium sp.) pathogen on 4-year-old and 7-year-old rubber plants. The study began in 2015, with a 4-year-old rubber plant and continues in 2018 with a 7-year-old rubber plant. The methodology is to inventory 500 rubber plants in two neighboring locations to determine the incidence and severity of disease caused by Upas Fungus in 2015. The results indicated that an invasion of pathogenic Upas Fungus attacked rubber plants starting at the age of 4 years in 2 places and the age of 4 years in another location. Symptoms included substantial eruptions of tree trunks that finally dried up. The inventory and calculation results indicate that the attack frequency at position 1 is 1.20 % with an attack intensity of 0.90 %, and the attack frequency at location 2 is 2.40 % with an attack intensity of 1.80 %. The correlation test revealed an inverse (negative) relationship between temperature and attack intensity, with a coefficient value of 0.721, and a directly proportional (positive) relationship between humidity and intensity, with a coefficient value of 0.754 and vice versa, between rainfall and intensity there is an inverse (negative) relationship that is not significant with a coefficient value of 0.199 and vice versa.

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A Review of Climate Change Impacts on Agribusiness Value Chain in Nigeria

Cited by 3 publications

References 22 publications

Impact of Climate Change and Economic Activity on Philippine Agriculture: A Cointegration and Causality Analysis

Impact of Climate Change and Economic Activity on Philippine Agriculture: A Cointegration and Causality Analysis

Evaluation of climate change as a major determinant of crop yield improvement in Nigeria

Identification of Climate Influence on Upas Fungus (Corticium sp.) Disease Intensity on Rubber Plants (Hevea brasiliensis Muell.Arg.)

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